Senior Data Analyst, Later
$80-100k
Social media marketing scheduling platform
Open for applications
Social media marketing scheduling platform
1001+ employees
Open for applications
$80-100k
1001+ employees
Company mission
To build the world’s first Social Revenue Platform.
Role
Who you are
- Bachelor's or Master's degree in Economics, Statistics, Data Science, Business Analytics, or related field
- 3+ years of experience in data analysis, business intelligence, or analytics roles
- Expert-level proficiency in SQL and experience with data transformation tools (dbt preferred)
- Strong analytical and problem-solving skills with ability to translate data into actionable business insights
- Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, etc.)
- Proficiency in Python or R for statistical analysis and data manipulation
- Experience with data visualization tools (Tableau, Looker, Power BI) and dashboard development
- Understanding of statistical methods and experimental design principles
- Knowledge of data modeling principles and dimensional modeling concepts
- Experience with version control (Git) and analytics code management
- Familiarity with A/B testing platforms and statistical testing methodologies
- Understanding of business metrics and KPIs across different functions (marketing, product, finance)
- Experience working with subscription-based or SaaS business models
- Knowledge of customer segmentation and cohort analysis techniques
- You’re proactive and results-driven, always taking initiative, aligning your actions with company goals, and delivering consistent outcomes
- Strategic and forward-thinking, you balance immediate needs with long-term opportunities to drive impactful, innovative results
- Your curiosity fuels success, keeping you sharp on industry trends, competition, and our cross-functional business dynamics
- Adaptable and resourceful, you handle shifting priorities with ease, manage your time effectively, and know when to ask for support
- You share insights to help the team stay ahead and make informed decisions
- You bring positivity and resilience to every challenge, tackling obstacles with grit and optimism that inspires those around you
- You lead with emotional intelligence, building trust, supporting others, encouraging growth, and fostering strong relationships through empathy and collaboration
What the job involves
- We are seeking a Senior Data Analyst with strong analytics engineering skills to join our data team
- In this role, you will conduct deep business analysis while also building and maintaining the data models and infrastructure that support analytics across the organization
- The ideal candidate combines analytical expertise with technical skills in data modeling and transformation, delivering both actionable insights and scalable data products that drive decision-making
- Translate complex data into business-relevant insights, ensuring that data-driven decisions are aligned with company goals
- Analyze business performance metrics to identify opportunities for growth and improvement
- Build and maintain scalable data models using modern data stack tools (dbt, SQL) to support ongoing analysis
- Create dashboards and reports that track key metrics and communicate results to stakeholders
- Collaborate with business teams across the organization to support strategic initiatives
- Design efficient data structures that enable both ad-hoc analysis and automated reporting
- Business Analysis & Insights:
- Conduct deep-dive analyses to understand business performance, user behavior, and market trends
- Develop hypotheses and design analyses to answer key business questions
- Present findings and recommendations to stakeholders, including senior leadership
- Partner with business teams to define KPIs and success metrics for various initiatives
- Perform exploratory data analysis to uncover new opportunities and insights
- Data Modeling & Technical Infrastructure:
- Build and maintain data models using dbt or similar tools to support scalable analytics
- Create reusable data assets and standardized metrics definitions
- Implement data quality checks and monitoring to ensure analysis accuracy
- Work with data engineering teams to optimize data pipeline performance
- Design data structures that balance analytical flexibility with performance
- Analytics Enablement:
- Partner with analysts and business users to understand reporting and analysis needs
- Create self-service analytics capabilities through well-designed data models and documentation
- Provide training and support to help teams effectively use data assets
- Build automated reporting solutions and standardized metrics definitions
- Cross-Function Collaboration:
- Act as the technical liaison between data engineering and business teams
- Present data architecture decisions and recommendations to technical and non-technical stakeholders
- Work closely with data engineering to ensure compliance and best practices
- Support ad-hoc analysis and data requests from various business teams
Our take
Platforms like Instagram, Pinterest, and TikTok have become indispensable for businesses of all sizes, shaping their marketing strategies and driving success. Later specializes in assisting customers in navigating these channels. Offering a visually oriented suite of tools, the marketing platform enables marketing managers to schedule, analyze, and track sales from their content effectively.
Focusing on small businesses, Later is doubling down on its strategy, aiming to provide additional products tailored for marketers at these enterprises while expanding its geographic reach. This expansion of product capabilities not only caters to the evolving needs of small businesses but also helps Later mitigate platform risk from social media companies mimicking its services. Partnerships with platforms like TikTok and Instagram, featuring post scheduling, analytics, and conversation tools, showcase Later's commitment to innovation and staying ahead in the competitive landscape.
In a significant development, Later recently merged with Mavrck to become one single brand under the name Later. The unified entity brings together its flagship products to drive traffic and revenue from platforms like Instagram and TikTok. This move aims to enhance user experience, drive engagement, and allow brands and creatives to achieve their social marketing and revenue goals effectively.
Steph
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jan 2015
$1.2m
SEED
Dec 2014
$1.3m
SEED
Total funding: $3.8m
Company benefits
- Flexible Paid Time Off
- Hybrid Work Environment
- Competitive Healthcare Benefits
- Stock Options
- Learning & Development Opportunities
Company HQ
Chinatown, Vancouver, BC
Leadership
Roger Patterson
(Co-Founder)Serial entrepreneur and Software Engineer, Roger has also co-founded Launch Academy, a non-profit grass-roots startup incubator, gaming company, Flock & Swarm Mobility and automated business intelligence company, Datacomb Data Services.
Ian Mackinn
(Co-Founder & CTO)Ian has had a hand in building enterprise-scale software products over a successful career at Google, SAP and Pulse Energy. Ian co-founded Placeling and was the Technical Lead at the mapping startup, Mapdash.
Cindy Chen
(Co-Founder)A design expert, Cindy has worked as Product Designer at Thinkific and as a Design Lead at Momentus Software.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 63 more jobs at Later